What Is palette.fm and What Does It Do?

palette.fm is a browser-based AI tool that colorizes black-and-white photos. You upload a monochrome image, choose from 21+ color filters, and the tool returns a colorized version in seconds. According to the site, no sign-up is needed to try it, and it has been used by 6.6M+ users. It fits tasks like restoring family photos, preparing historical images for a project, or quickly testing how a black-and-white shot might look in color — as long as you're working with a still image and want an automated first pass rather than manual, pixel-level retouching.

How it works

The workflow is deliberately short. The site describes three steps:

1. Upload your photo — click the "Upload image" button, or drag and drop one or more images.
2. Pick a filter — you're shown a set of color filter options and choose the one you want applied.
3. Download or edit — download the colorized result, or refine the colors further by adjusting keywords.

The "adjusting keywords" step is the part worth understanding: instead of painting colors by hand, you steer the result with text, which is how the tool lets you nudge an output toward a specific look without a full editing suite.

What you get

The site also presents before/after examples across categories like light, flowers, interiors, history, and clothes, which is a useful way to judge whether the tool's output style matches your material before you upload anything.

When it's a good fit — and when it isn't

Good fit:

• You have a black-and-white or faded photo and want a realistic color version quickly.
• You want to compare several color treatments of the same image without doing manual work.
• You're producing a first draft to review, share, or refine later.

Weaker fit:

• You need exact, historically verified colors for a specific object or garment — automated colorization infers color, so treat results as plausible rather than authoritative.
• You need fine manual control over individual regions; the keyword approach is coarser than brush-based editing.
• You're colorizing video rather than still images.

Practical notes before you start

• Start with a clean scan. Colorization quality depends heavily on the input; a sharp, well-exposed black-and-white source gives the AI more to work with than a blurry or heavily compressed one.
• Try more than one filter. With 21+ options, the same photo can read very differently; the first result isn't necessarily the best.
• Use keywords as a second pass. If a result is close but a specific element is off, adjust the keywords rather than starting over.
• Check the About and Pricing pages if you need details on limits, commercial use, or paid tiers — the homepage promotes a free start but doesn't spell out plan terms.

If your goal is simply to see what an old photo looks like in color, the fastest path is to upload it and test a few filters. If your goal is a precisely controlled restoration, treat palette.fm as a fast starting point and plan on further editing.